Business documents

Solution overview

This solution is supported by current product proof and is actively marketed as a live capability.

Turn messy invoices, purchase orders, and receipts into trusted operating data.

Zerqano makes documents the fastest path to value by extracting, classifying, reviewing, approving, and routing document data into the workflows that need it next.

Buyer problem

Critical operational inputs arrive as PDFs, scans, receipts, confirmations, and attachments, but teams still rekey or chase them manually.

  1. Beat 1

    Invoice / PO / receipt intake

  2. Beat 2

    Extraction with confidence + exceptions

  3. Beat 3

    Approved facts feed cost and coverage

app.zerqano.com/document
LIVE

Document Intelligence

0.95 avg confidence

Scanned document

Matched line items

HTO-CMP-TNT4Harbor Dome Tent, 4-person
$1,728.00
HTO-CMP-SLP20Trailrest Sleeping Bag, 20-degree
$936.00
HTO-CMP-PADRTrailrest Insulated Sleeping Pad
$540.00

AI-extracted fields

Document type

Vendor Invoice

97%

Vendor

Cedar Ridge Shelterworks

99%

Invoice #

HTO-INV-0042

98%

Date

August 6, 2026

96%

Total amount

$3,732.48

95%

Line items

4 products detected

93%

Payment terms

Net 45

91%

PO reference

HTOPO-260806-001

94%
Approve & IngestEdit Fields

Visual walkthrough

What this workflow looks like inside the product.

Primary module proof for this solution, plus the connected operating context that makes the handoff real.

app.zerqano.com/document
LIVE

Document Intelligence

0.95 avg confidence

Scanned document

Matched line items

HTO-CMP-TNT4Harbor Dome Tent, 4-person
$1,728.00
HTO-CMP-SLP20Trailrest Sleeping Bag, 20-degree
$936.00
HTO-CMP-PADRTrailrest Insulated Sleeping Pad
$540.00

AI-extracted fields

Document type

Vendor Invoice

97%

Vendor

Cedar Ridge Shelterworks

99%

Invoice #

HTO-INV-0042

98%

Date

August 6, 2026

96%

Total amount

$3,732.48

95%

Line items

4 products detected

93%

Payment terms

Net 45

91%

PO reference

HTOPO-260806-001

94%
Approve & IngestEdit Fields
app.zerqano.com/connected-context
LIVE

Smart Upload

AI-mapped
📄

inventory_q1_export.csv

2,847 rows · 14 columns · 1.2 MB

12/14 columns mapped

AI auto-detected with high confidence

2 need review

Manual mapping suggested

CSV column

Zerqano field

Confidence

product_id

SKU

98%

item_name

Product Name

96%

qty_on_hand

Stock Level

94%

unit_cost

Unit Cost

97%

sell_price

Selling Price

95%

vendor_name

Supplier

91%

cat_code

Category

88%

lead_time_days

Lead Time

93%

Review mappings, then confirm to import into your catalog.

Confirm & Import →
zerqano.com/document-intelligence-main
LIVE

Document Intelligence

0.95 avg confidence

Scanned document

Matched line items

HTO-CMP-TNT4Harbor Dome Tent, 4-person
$1,728.00
HTO-CMP-SLP20Trailrest Sleeping Bag, 20-degree
$936.00
HTO-CMP-PADRTrailrest Insulated Sleeping Pad
$540.00

AI-extracted fields

Document type

Vendor Invoice

97%

Vendor

Cedar Ridge Shelterworks

99%

Invoice #

HTO-INV-0042

98%

Date

August 6, 2026

96%

Total amount

$3,732.48

95%

Line items

4 products detected

93%

Payment terms

Net 45

91%

PO reference

HTOPO-260806-001

94%
Approve & IngestEdit Fields

What document intelligence software looks like in the current product.

Operator-ready workflow

What the user reviews, clicks, and sends from this solution.

The page preview is tied to a practical review queue so visitors understand the day-to-day action, not only the category name. Every step keeps the human approval moment visible.

Step 01

Check extraction confidence

Review fields

Review OCR fields, SKU matches, and exceptions before ingestion.

Step 02

Approve ingestion

Approve import

Send clean rows into catalog, inventory, pricing, and forecasting workflows.

Step 03

Route exception

Send email

Notify the right person when a document needs human cleanup.

Review before action

The AI earns trust inside this workflow before it earns automation.

Every document intelligence software recommendation carries its reasoning, waits for approval, and keeps the operator in control. That makes the workflow safe to adopt before the team is ready to automate more of it.

Every action is reasoned

Before the agent suggests anything, it shows you the why — the model, the data, the confidence, and which row it came from.

Nothing happens without you

No silent writes. Every change to inventory, pricing, POs, or documents waits behind a one-click approval — even when you sleep.

Undo for 60 seconds

Every approved action is reversible. The agent shows a fading undo pill so a mis-click is never a problem.

Your data, your lane

Row-level security and per-skill data isolation means your numbers never bleed into another tenant, and the agent only reads what it needs.

Problem framing

Why this workflow breaks today.

Documents are one of the biggest sources of truth in operations, but they rarely enter the decision system cleanly or fast enough.

Operations teams, AP and purchasing stakeholders, branch admins, and analysts dealing with messy operational paperwork.

Operational truth arrives in messy formats

Invoices, purchase orders, receipts, and confirmations often land as PDFs, scans, or attachments that are hard to use downstream.

Teams still retype or recheck key facts manually

Costs, quantities, dates, and document type decisions are often recreated by hand before they reach the system that needs them.

Document handling breaks trust when confidence is hidden

If teams cannot see confidence, duplicates, review state, and target routing, they do not trust the ingestion flow.

What exists now

  • - Upload or capture messy operational documents from PDFs, scans, receipts, and attachments.
  • - Run OCR and AI classification with confidence, duplicate detection, and clear status handling.
  • - Support review, reclassify, reprocess, approve, and ingest flows when human validation is needed.
  • - Route approved document data into downstream operational tables and trigger the next pipeline or workflow.

Operational proof

  • - Current document workflows already support extraction, classification, confidence, duplicate handling, review, and ingestion.
  • - The documents module is not passive storage. It is an operating wedge that feeds procurement, pricing, inventory, and revenue workflows.
  • - Approval-aware routing makes document automation safer and more believable than upload-only claims.

Trust and explainability

  • - Confidence, review state, duplicate handling, and target routing stay visible, which makes document automation easier to trust.
  • - The product keeps a human review path for low-confidence or ambiguous documents instead of hiding uncertainty.
  • - Document intelligence compounds across the platform because a trusted invoice or PO can change costs, ordering, pricing, and scenario analysis downstream.

Connected system

This workflow gets stronger because it is connected to the rest of Zerqano.

01

Upload or scan the document into the shared document workflow.

02

Run extraction, classification, and duplicate checks with confidence attached.

03

Review, reclassify, or approve the result when needed.

04

Route the approved output into invoices, purchase orders, sales orders, expenses, or downstream pipeline triggers.

Where it expands next

Expands into broader ingestion automation, more document types, richer extraction schemas, and stronger recommendation loops fed directly from operational paperwork.

FAQ

Questions teams ask during evaluation.

Get answers about how Zerqano handles document intelligence software and the workflows that connect to it.

No. The safe public claim is that the system handles documents trapped in inboxes, PDFs, scans, and attachments once they are brought into the document workflow.